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  • Nginx fastcgi problems with django

    - by wizard
    I'm deploying my first django app. I'm familiar with nginx and fastcgi from deploying php-fpm. I can't get python to recognize the urls. I'm also at a loss on how to debug this further. I'd welcome solutions to this problem and tips on debugging fastcgi problems. Currently I get a 404 page regardless of the url and for some reason a double slash For http://www.site.com/admin/ Page not found (404) Request Method: GET Request URL: http://www.site.com/admin// My urls.py from the debug output - which work in the dev server. Using the URLconf defined in ahrlty.urls, Django tried these URL patterns, in this order: ^listings/ ^admin/ ^accounts/login/$ ^accounts/logout/$ my nginx config server { listen 80; server_name beta.ahrlty.com; access_log /home/ahrlty/ahrlty/logs/access.log; error_log /home/ahrlty/ahrlty/logs/error.log; location /static/ { alias /home/ahrlty/ahrlty/ahrlty/static/; break; } location /media/ { alias /usr/lib/python2.6/dist-packages/django/contrib/admin/media/; break; } location / { include /etc/nginx/fastcgi_params; fastcgi_pass 127.0.0.1:8001; break; } } and my fastcgi_params fastcgi_param QUERY_STRING $query_string; fastcgi_param REQUEST_METHOD $request_method; fastcgi_param CONTENT_TYPE $content_type; fastcgi_param CONTENT_LENGTH $content_length; fastcgi_param SCRIPT_NAME $fastcgi_script_name; fastcgi_param REQUEST_URI $request_uri; fastcgi_param DOCUMENT_URI $document_uri; fastcgi_param DOCUMENT_ROOT $document_root; fastcgi_param SERVER_PROTOCOL $server_protocol; fastcgi_param GATEWAY_INTERFACE CGI/1.1; fastcgi_param SERVER_SOFTWARE nginx/$nginx_version; fastcgi_param REMOTE_ADDR $remote_addr; fastcgi_param REMOTE_PORT $remote_port; fastcgi_param SERVER_ADDR $server_addr; fastcgi_param SERVER_PORT $server_port; fastcgi_param SERVER_NAME $server_name; fastcgi_param PATH_INFO $fastcgi_script_name; # PHP only, required if PHP was built with --enable-force-cgi-redirect fastcgi_param REDIRECT_STATUS 200; And lastly I'm running fastcgi from the commandline with django's manage.py. python manage.py runfcgi method=threaded host=127.0.0.1 port=8080 pidfile=mysite.pid minspare=4 maxspare=30 daemonize=false I'm having a hard time debugging this one. Does anything jump out at anybody?

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  • Where can I get precompiled mod_perl, mod_python for Apache on Win64?

    - by Soumya92
    I have managed to set up pure 64-bit Apache, PHP, MySQL, and 64-bit distributions of Perl and Pyton. However, I cannot get Apache to automatically parse .pl files with Perl, and .py files with Python. Looking around points to mod_perl and mod_python for Apache, which unfortunately fail to build. Is there any precompiled mod_perl, mod_python for Win64? Or is there any other way of getting .pl, .py to work on Apache?

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  • How to install Reddit Open Source on a web server

    - by Shubz
    I have been playing around with the Reddit open source software and have been getting no where fast. I was wondering if anybody can instruct me on how to install the software on a web server. I know how to install normal php scripts etc, but I've never installed a software such as a python or rails script before. I'm not very good with commands but I know how to run them. If that makes sense. Thanks!

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  • Nginx fastcgi problems with django (double slashes in url?)

    - by wizard
    I'm deploying my first django app. I'm familiar with nginx and fastcgi from deploying php-fpm. I can't get python to recognize the urls. I'm also at a loss on how to debug this further. I'd welcome solutions to this problem and tips on debugging fastcgi problems. Currently I get a 404 page regardless of the url and for some reason a double slash For http://www.site.com/admin/ Page not found (404) Request Method: GET Request URL: http://www.site.com/admin// My urls.py from the debug output - which work in the dev server. Using the URLconf defined in ahrlty.urls, Django tried these URL patterns, in this order: ^listings/ ^admin/ ^accounts/login/$ ^accounts/logout/$ my nginx config server { listen 80; server_name beta.ahrlty.com; access_log /home/ahrlty/ahrlty/logs/access.log; error_log /home/ahrlty/ahrlty/logs/error.log; location /static/ { alias /home/ahrlty/ahrlty/ahrlty/static/; break; } location /media/ { alias /usr/lib/python2.6/dist-packages/django/contrib/admin/media/; break; } location / { include /etc/nginx/fastcgi_params; fastcgi_pass 127.0.0.1:8001; break; } } and my fastcgi_params fastcgi_param QUERY_STRING $query_string; fastcgi_param REQUEST_METHOD $request_method; fastcgi_param CONTENT_TYPE $content_type; fastcgi_param CONTENT_LENGTH $content_length; fastcgi_param SCRIPT_NAME $fastcgi_script_name; fastcgi_param REQUEST_URI $request_uri; fastcgi_param DOCUMENT_URI $document_uri; fastcgi_param DOCUMENT_ROOT $document_root; fastcgi_param SERVER_PROTOCOL $server_protocol; fastcgi_param GATEWAY_INTERFACE CGI/1.1; fastcgi_param SERVER_SOFTWARE nginx/$nginx_version; fastcgi_param REMOTE_ADDR $remote_addr; fastcgi_param REMOTE_PORT $remote_port; fastcgi_param SERVER_ADDR $server_addr; fastcgi_param SERVER_PORT $server_port; fastcgi_param SERVER_NAME $server_name; fastcgi_param PATH_INFO $fastcgi_script_name; # PHP only, required if PHP was built with --enable-force-cgi-redirect fastcgi_param REDIRECT_STATUS 200; And lastly I'm running fastcgi from the commandline with django's manage.py. python manage.py runfcgi method=threaded host=127.0.0.1 port=8080 pidfile=mysite.pid minspare=4 maxspare=30 daemonize=false I'm having a hard time debugging this one. Does anything jump out at anybody? Notes nginx version: nginx/0.7.62 Django svn trunk rev 13013

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  • About memory cache of Linux

    - by cheneydeng
    I'm running a python script to do some statistics and the actually memory which used is low,about 10%.And no other process cost more memory.However,when i use free -m and it shows that almost 95% memory has been used.The point is that my script should do a lot of read from files,so i wonder if there's any mechanism of Linux memory cache that caused the problem?echo 1 >> /proc/sys/vm/drop_caches works,but it seems manually.How can i reduce the memory cost and doesn't make a bad effect on reading files?

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  • UK-based web hosting with Django support

    - by mattbd
    I'm planning to set up a personal website in the near future, and I'd like to use Django on the site. I haven't yet made any decisions about hosting and I was thinking of going with Fasthosts, who support Python, but their website doesn't mention Django at all. Anyone know whether they support it or not? If not, can anyone recommend a good UK-based web host that does support Django?

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  • Apache will not start with mod_wsgi enabled

    - by Rox45
    I'm trying to run Apache with mod_wsgi to run Python scripts. The server is running Ubuntu 12.04 with Zend Server installed, but when I enable the wsgi module Apache will not start. I get an error message of "apache2: apr_sockaddr_info_get() failed" in the error log. I installed the module using the Debian package. I can't seem to find this specific problem anywhere so maybe it's a problem with Zend Server? I'm stumped. Thanks

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  • Loading a PyML multiclass classifier... why isn't this working?

    - by Michael Aaron Safyan
    This is a followup from "Save PyML.classifiers.multi.OneAgainstRest(SVM()) object?". I am using PyML for a computer vision project (pyimgattr), and have been having trouble storing/loading a multiclass classifier. When attempting to load one of the SVMs in a composite classifier, with loadSVM, I am getting: ValueError: invalid literal for float(): rest Note that this does not happen with the first classifier that I load, only with the second. What is causing this error, and what can I do to get around this so that I can properly load the classifier? Details To better understand the trouble I'm running into, you may want to look at pyimgattr.py (currently revision 11). I am invoking the program with "./pyimgattr.py train" which trains the classifier (invokes train on line 571, which trains the classifier with trainmulticlassclassifier on line 490 and saves it with storemulticlassclassifier on line 529), and then invoking the program with "./pyimgattr.py test" which loads the classifier in order to test it with the testing dataset (invokes test on line 628, which invokes loadmulticlassclassifier on line 549). The multiclass classifier consists of several one-against-rest SVMs which are saved individually. The loadmulticlassclassifier function loads these individually by calling loadSVM() on several different files. It is in this call to loadSVM (done indirectly in loadclassifier on line 517) that I get an error. The first of the one-against-rest classifiers loads successfully, but the second one does not. A transcript is as follows: $ ./pyimgattr.py test [INFO] pyimgattr -- Loading attributes from "classifiers/attributes.lst"... [INFO] pyimgattr -- Loading classnames from "classifiers/classnames.lst"... [INFO] pyimgattr -- Loading dataset "attribute_data/apascal_test.txt"... [INFO] pyimgattr -- Loaded dataset "attribute_data/apascal_test.txt". [INFO] pyimgattr -- Loading multiclass classifier from "classifiers/classnames_from_attributes"... [INFO] pyimgattr -- Constructing object into which to store loaded data... [INFO] pyimgattr -- Loading manifest data... [INFO] pyimgattr -- Loading classifier from "classifiers/classnames_from_attributes/aeroplane.svm".... scanned 100 patterns scanned 200 patterns read 100 patterns read 200 patterns {'50': 38, '60': 45, '61': 46, '62': 47, '49': 37, '52': 39, '53': 40, '24': 16, '25': 17, '26': 18, '27': 19, '20': 12, '21': 13, '22': 14, '23': 15, '46': 34, '47': 35, '28': 20, '29': 21, '40': 32, '41': 33, '1': 1, '0': 0, '3': 3, '2': 2, '5': 5, '4': 4, '7': 7, '6': 6, '8': 8, '58': 44, '39': 31, '38': 30, '15': 9, '48': 36, '16': 10, '19': 11, '32': 24, '31': 23, '30': 22, '37': 29, '36': 28, '35': 27, '34': 26, '33': 25, '55': 42, '54': 41, '57': 43} read 250 patterns in LinearSparseSVModel done LinearSparseSVModel constructed model [INFO] pyimgattr -- Loaded classifier from "classifiers/classnames_from_attributes/aeroplane.svm". [INFO] pyimgattr -- Loading classifier from "classifiers/classnames_from_attributes/bicycle.svm".... label at None delimiter , Traceback (most recent call last): File "./pyimgattr.py", line 797, in sys.exit(main(sys.argv)); File "./pyimgattr.py", line 782, in main return test(attributes_file,classnames_file,testing_annotations_file,testing_dataset_path,classifiers_path,logger); File "./pyimgattr.py", line 635, in test multiclass_classnames_from_attributes_classifier = loadmulticlassclassifier(classnames_from_attributes_folder,logger); File "./pyimgattr.py", line 529, in loadmulticlassclassifier classifiers.append(loadclassifier(os.path.join(filename,label+".svm"),logger)); File "./pyimgattr.py", line 502, in loadclassifier result=loadSVM(filename,datasetClass = SparseDataSet); File "/Library/Python/2.6/site-packages/PyML/classifiers/svm.py", line 328, in loadSVM data = datasetClass(fileName, **args) File "/Library/Python/2.6/site-packages/PyML/containers/vectorDatasets.py", line 224, in __init__ BaseVectorDataSet.__init__(self, arg, **args) File "/Library/Python/2.6/site-packages/PyML/containers/baseDatasets.py", line 214, in __init__ self.constructFromFile(arg, **args) File "/Library/Python/2.6/site-packages/PyML/containers/baseDatasets.py", line 243, in constructFromFile for x in parser : File "/Library/Python/2.6/site-packages/PyML/containers/parsers.py", line 426, in next x = [float(token) for token in tokens[self._first:self._last]] ValueError: invalid literal for float(): rest

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  • SQLAlchemy session management in long-running process

    - by codeape
    Scenario: A .NET-based application server (Wonderware IAS/System Platform) hosts automation objects that communicate with various equipment on the factory floor. CPython is hosted inside this application server (using Python for .NET). The automation objects have scripting functionality built-in (using a custom, .NET-based language). These scripts call Python functions. The Python functions are part of a system to track Work-In-Progress on the factory floor. The purpose of the system is to track the produced widgets along the process, ensure that the widgets go through the process in the correct order, and check that certain conditions are met along the process. The widget production history and widget state is stored in a relational database, this is where SQLAlchemy plays its part. For example, when a widget passes a scanner, the automation software triggers the following script (written in the application server's custom scripting language): ' wiget_id and scanner_id provided by automation object ' ExecFunction() takes care of calling a CPython function retval = ExecFunction("WidgetScanned", widget_id, scanner_id); ' if the python function raises an Exception, ErrorOccured will be true ' in this case, any errors should cause the production line to stop. if (retval.ErrorOccured) then ProductionLine.Running = False; InformationBoard.DisplayText = "ERROR: " + retval.Exception.Message; InformationBoard.SoundAlarm = True end if; The script calls the WidgetScanned python function: # pywip/functions.py from pywip.database import session from pywip.model import Widget, WidgetHistoryItem from pywip import validation, StatusMessage from datetime import datetime def WidgetScanned(widget_id, scanner_id): widget = session.query(Widget).get(widget_id) validation.validate_widget_passed_scanner(widget, scanner) # raises exception on error widget.history.append(WidgetHistoryItem(timestamp=datetime.now(), action=u"SCANNED", scanner_id=scanner_id)) widget.last_scanner = scanner_id widget.last_update = datetime.now() return StatusMessage("OK") # ... there are a dozen similar functions My question is: How do I best manage SQLAlchemy sessions in this scenario? The application server is a long-running process, typically running months between restarts. The application server is single-threaded. Currently, I do it the following way: I apply a decorator to the functions I make avaliable to the application server: # pywip/iasfunctions.py from pywip import functions def ias_session_handling(func): def _ias_session_handling(*args, **kwargs): try: retval = func(*args, **kwargs) session.commit() return retval except: session.rollback() raise return _ias_session_handling # ... actually I populate this module with decorated versions of all the functions in pywip.functions dynamically WidgetScanned = ias_session_handling(functions.WidgetScanned) Question: Is the decorator above suitable for handling sessions in a long-running process? Should I call session.remove()? The SQLAlchemy session object is a scoped session: # pywip/database.py from sqlalchemy.orm import scoped_session, sessionmaker session = scoped_session(sessionmaker()) I want to keep the session management out of the basic functions. For two reasons: There is another family of functions, sequence functions. The sequence functions call several of the basic functions. One sequence function should equal one database transaction. I need to be able to use the library from other environments. a) From a TurboGears web application. In that case, session management is done by TurboGears. b) From an IPython shell. In that case, commit/rollback will be explicit. (I am truly sorry for the long question. But I felt I needed to explain the scenario. Perhaps not necessary?)

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  • Can't import my module when start my twisted application under root

    - by kepkin
    Here is absolutely minimal application so you could try to reproduce it on your machine. Having two files for example in /home/aln/tmp/tw_test: server.tac MyLib.py MyLib.py class Solver(object): def solve(self): """ do extremely complex stuff here """ print "Hello from solve" server.tac #!/usr/bin/python import MyLib from twisted.application import internet, service from twisted.internet import protocol, reactor, defer, utils, threads from twisted.protocols import basic class MyProtocol(basic.LineReceiver): def lineReceived(self, line): if line=="new job": self.transport.write("started a job" + '\r\n') self.factory.run_defered() class MyFactory(protocol.ServerFactory, MyLib.Solver): protocol = MyProtocol def run_defered_helper(self): self.solve() def run_defered(self): d = threads.deferToThread(self.run_defered_helper) application = service.Application('MyApplication') factory = MyFactory() internet.TCPServer(1079, factory).setServiceParent(service.IServiceCollection(application)) Everything works fine when I start it under non-root user. aln@aln-laptop:tw_test$ twistd -ny server.tac 2010-03-03 22:42:55+0300 [-] Log opened. 2010-03-03 22:42:55+0300 [-] twistd 8.2.0 (/usr/bin/python 2.6.4) starting up. 2010-03-03 22:42:55+0300 [-] reactor class: twisted.internet.selectreactor.SelectReactor. 2010-03-03 22:42:55+0300 [-] <class 'MyFactory'> starting on 1079 2010-03-03 22:42:55+0300 [-] Starting factory <MyFactory object at 0x2d5ea50> 2010-03-03 22:42:59+0300 [MyProtocol,0,127.0.0.1] Hello from solve ^C2010-03-03 22:43:01+0300 [-] Received SIGINT, shutting down. 2010-03-03 22:43:01+0300 [-] (Port 1079 Closed) 2010-03-03 22:43:01+0300 [-] Stopping factory <MyFactory object at 0x2d5ea50> 2010-03-03 22:43:01+0300 [-] Main loop terminated. 2010-03-03 22:43:02+0300 [-] Server Shut Down. But if try to start it under root (which is going to happen in my real application) I receive the following exception: aln@aln-laptop:tw_test$ sudo twistd -ny server.tac [sudo] password for aln: Traceback (most recent call last): File "/usr/lib/python2.6/dist-packages/twisted/application/app.py", line 694, in run runApp(config) File "/usr/lib/python2.6/dist-packages/twisted/scripts/twistd.py", line 23, in runApp _SomeApplicationRunner(config).run() File "/usr/lib/python2.6/dist-packages/twisted/application/app.py", line 411, in run self.application = self.createOrGetApplication() File "/usr/lib/python2.6/dist-packages/twisted/application/app.py", line 494, in createOrGetApplication application = getApplication(self.config, passphrase) --- <exception caught here> --- File "/usr/lib/python2.6/dist-packages/twisted/application/app.py", line 505, in getApplication application = service.loadApplication(filename, style, passphrase) File "/usr/lib/python2.6/dist-packages/twisted/application/service.py", line 390, in loadApplication application = sob.loadValueFromFile(filename, 'application', passphrase) File "/usr/lib/python2.6/dist-packages/twisted/persisted/sob.py", line 215, in loadValueFromFile exec fileObj in d, d File "server.tac", line 2, in <module> import MyLib exceptions.ImportError: No module named MyLib Failed to load application: No module named MyLib If I try to load MyLib module in the python intepreter under root, it works fine: aln@aln-laptop:tw_test$ sudo python Python 2.6.4 (r264:75706, Dec 7 2009, 18:43:55) [GCC 4.4.1] on linux2 Type "help", "copyright", "credits" or "license" for more information. >>> import MyLib >>> import sys >>> print(sys.path) ['', '/usr/lib/python2.6', '/usr/lib/python2.6/plat-linux2', '/usr/lib/python2.6/lib-tk', '/usr/lib/python2.6/lib-old', '/usr/lib/python2.6/lib-dynload', '/usr/lib/python2.6/dist-packages', '/usr/lib/python2.6/dist-packages/PIL', '/usr/lib/python2.6/dist-packages/gst-0.10', '/usr/lib/pymodules/python2.6', '/usr/lib/python2.6/dist-packages/gtk-2.0', '/usr/lib/pymodules/python2.6/gtk-2.0', '/usr/local/lib/python2.6/dist-packages'] >>> sys.path is absolutely the same for aln user. I tried sudo -E too. Any suggestions?

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  • How can I disable 'output escaping' in minidom

    - by William
    I'm trying to build an xml document from scratch using xml.dom.minidom. Everything was going well until I tried to make a text node with a ® (Registered Trademark) symbol in. My objective is for when I finally hit print mydoc.toxml() this particular node will actually contain a ® symbol. First I tried: import xml.dom.minidom as mdom data = '®' which gives the rather obvious error of: File "C:\src\python\HTMLGen\test2.py", line 3 SyntaxError: Non-ASCII character '\xae' in file C:\src\python\HTMLGen\test2.py on line 3, but no encoding declared; see http://www.python.or g/peps/pep-0263.html for details I have of course also tried changing the encoding of my python script to 'utf-8' using the opening line comment method, but this didn't help. So I thought import xml.dom.minidom as mdom data = '&#174;' #Both accepted xml encodings for registered trademark data = '&reg;' text = mdom.Text() text.data = data print data print text.toxml() But because when I print text.toxml(), the ampersands are being escaped, I get this output: &reg; &amp;reg; My question is, does anybody know of a way that I can force the ampersands not to be escaped in the output, so that I can have my special character reference carry through to the XML document? Basically, for this node, I want print text.toxml() to produce output of &reg; or &#174; in a happy and cooperative way! EDIT 1: By the way, if minidom actually doesn't have this capacity, I am perfectly happy using another module that you can recommend which does. EDIT 2: As Hugh suggested, I tried using data = u'®' (while also using data # -*- coding: utf-8 -*- Python source tags). This almost helped in the sense that it actually caused the ® symbol itself to be outputted to my xml. This is actually not the result I am looking for. As you may have guessed by now (and perhaps I should have specified earlier) this xml document happens to be an HTML page, which needs to work in a browser. So having ® in the document ends up causing rubbish in the browser (® to be precise!). I also tried: data = unichr(174) text.data = data.encode('ascii','xmlcharrefreplace') print text.toxml() But of course this lead to the same origional problem where all that happens is the ampersand gets escaped by .toxml(). My ideal scenario would be some way of escaping the ampersand so that the XML printing function won't "escape" it on my behalf for the document (in other words, achieving my original goal of having &reg; or &#174; appear in the document). Seems like soon I'm going to have to resort to regular expressions! EDIT 2a: Or perhaps not. Seems like getting my html meta information correct <META http-equiv="Content-Type" Content="text/html; charset=UTF-8"> could help, but I'm not sure yet how this fits in with the xml structure...

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  • Can't build pyxpcom on OS X 10.6

    - by Gj
    I've been following these instructions at https://developer.mozilla.org/en/Building_PyXPCOM but getting this: $ make make export make[2]: Nothing to be done for `export'. make[4]: Nothing to be done for `export'. make[4]: Nothing to be done for `export'. /opt/local/bin/python2.5 ../../../src/config/nsinstall.py -L /usr/local/pyxpcom/build/xpcom/src -m 644 ../../../src/xpcom/src/PyXPCOM.h ../../dist/include make[3]: Nothing to be done for `export'. /opt/local/bin/python2.5 ../../../../src/config/nsinstall.py -D ../../../dist/idl /opt/local/bin/python2.5 ../../../../src/config/nsinstall.py -D ../../../dist/idl make[4]: *** No rule to make target `_xpidlgen/py_test_component.h', needed by `export'. Stop. make[3]: *** [export] Error 2 make[2]: *** [export] Error 2 make[1]: *** [export] Error 2 make: *** [default] Error 2 Any ideas? An interesting anomaly is that despite me setting the PYTHON env variable to Python 2.6, the configure and make both seem to go after the 2.5... Thanks for any advice! PS here's the configure output: $ ../src/configure --with-libxul-sdk=/Users/me/xulrunner-sdk/ loading cache ./config.cache checking host system type... i386-apple-darwin10.3.0 checking target system type... i386-apple-darwin10.3.0 checking build system type... i386-apple-darwin10.3.0 checking for mawk... (cached) gawk checking for perl5... (cached) /opt/local/bin/perl5 checking for gcc... (cached) gcc checking whether the C compiler (gcc ) works... yes checking whether the C compiler (gcc ) is a cross-compiler... no checking whether we are using GNU C... (cached) yes checking whether gcc accepts -g... (cached) yes checking for c++... (cached) c++ checking whether the C++ compiler (c++ ) works... yes checking whether the C++ compiler (c++ ) is a cross-compiler... no checking whether we are using GNU C++... (cached) yes checking whether c++ accepts -g... (cached) yes checking for ranlib... (cached) ranlib checking for as... (cached) /usr/bin/as checking for ar... (cached) ar checking for ld... (cached) ld checking for strip... (cached) strip checking for windres... no checking whether gcc and cc understand -c and -o together... (cached) yes checking how to run the C preprocessor... (cached) gcc -E checking how to run the C++ preprocessor... (cached) c++ -E checking for a BSD compatible install... (cached) /usr/bin/install -c checking whether ln -s works... (cached) yes checking for minimum required perl version >= 5.006... 5.008009 checking for full perl installation... yes checking for /opt/local/bin/python... (cached) /opt/local/bin/python2.5 checking for doxygen... (cached) : checking for whoami... (cached) /usr/bin/whoami checking for autoconf... (cached) /opt/local/bin/autoconf checking for unzip... (cached) /usr/bin/unzip checking for zip... (cached) /usr/bin/zip checking for makedepend... (cached) /opt/local/bin/makedepend checking for xargs... (cached) /usr/bin/xargs checking for pbbuild... (cached) /usr/bin/xcodebuild checking for sdp... (cached) /usr/bin/sdp checking for gmake... (cached) /opt/local/bin/gmake checking for X... (cached) no checking whether the compiler supports -Wno-invalid-offsetof... yes checking whether ld has archive extraction flags... (cached) no checking that static assertion macros used in autoconf tests work... (cached) yes checking for 64-bit OS... yes checking for minimum required Python version >= 2.4... yes checking for -dead_strip option to ld... yes checking for ANSI C header files... (cached) yes checking for working const... (cached) yes checking for mode_t... (cached) yes checking for off_t... (cached) yes checking for pid_t... (cached) yes checking for size_t... (cached) yes checking for st_blksize in struct stat... (cached) yes checking for siginfo_t... (cached) yes checking for int16_t... (cached) yes checking for int32_t... (cached) yes checking for int64_t... (cached) yes checking for int64... (cached) no checking for uint... (cached) yes checking for uint_t... (cached) no checking for uint16_t... (cached) no checking for uname.domainname... (cached) no checking for uname.__domainname... (cached) no checking for usable char16_t (2 bytes, unsigned)... (cached) no checking for usable wchar_t (2 bytes, unsigned)... (cached) no checking for compiler -fshort-wchar option... (cached) yes checking for visibility(hidden) attribute... (cached) yes checking for visibility(default) attribute... (cached) yes checking for visibility pragma support... (cached) yes checking For gcc visibility bug with class-level attributes (GCC bug 26905)... (cached) yes checking For x86_64 gcc visibility bug with builtins (GCC bug 20297)... (cached) no checking for dirent.h that defines DIR... (cached) yes checking for opendir in -ldir... (cached) no checking for sys/byteorder.h... (cached) no checking for compat.h... (cached) no checking for getopt.h... (cached) yes checking for sys/bitypes.h... (cached) no checking for memory.h... (cached) yes checking for unistd.h... (cached) yes checking for gnu/libc-version.h... (cached) no checking for nl_types.h... (cached) yes checking for malloc.h... (cached) no checking for X11/XKBlib.h... (cached) yes checking for io.h... (cached) no checking for sys/statvfs.h... (cached) yes checking for sys/statfs.h... (cached) no checking for sys/vfs.h... (cached) no checking for sys/mount.h... (cached) yes checking for sys/quota.h... (cached) yes checking for mmintrin.h... (cached) yes checking for new... (cached) yes checking for sys/cdefs.h... (cached) yes checking for gethostbyname_r in -lc_r... (cached) no checking for dladdr... (cached) yes checking for socket in -lsocket... (cached) no checking whether mmap() sees write()s... yes checking whether gcc needs -traditional... (cached) no checking for 8-bit clean memcmp... (cached) yes checking for random... (cached) yes checking for strerror... (cached) yes checking for lchown... (cached) yes checking for fchmod... (cached) yes checking for snprintf... (cached) yes checking for statvfs... (cached) yes checking for memmove... (cached) yes checking for rint... (cached) yes checking for stat64... (cached) yes checking for lstat64... (cached) yes checking for truncate64... (cached) no checking for statvfs64... (cached) no checking for setbuf... (cached) yes checking for isatty... (cached) yes checking for flockfile... (cached) yes checking for getpagesize... (cached) yes checking for localtime_r... (cached) yes checking for strtok_r... (cached) yes checking for wcrtomb... (cached) yes checking for mbrtowc... (cached) yes checking for res_ninit()... (cached) no checking for gnu_get_libc_version()... (cached) no ../src/configure: line 9881: AM_LANGINFO_CODESET: command not found checking for an implementation of va_copy()... (cached) yes checking for an implementation of __va_copy()... (cached) yes checking whether va_lists can be copied by value... (cached) no checking for C++ exceptions flag... (cached) -fno-exceptions checking for gcc 3.0 ABI... (cached) yes checking for C++ "explicit" keyword... (cached) yes checking for C++ "typename" keyword... (cached) yes checking for modern C++ template specialization syntax support... (cached) yes checking whether partial template specialization works... (cached) yes checking whether operators must be re-defined for templates derived from templates... (cached) no checking whether we need to cast a derived template to pass as its base class... (cached) no checking whether the compiler can resolve const ambiguities for templates... (cached) yes checking whether the C++ "using" keyword can change access... (cached) yes checking whether the C++ "using" keyword resolves ambiguity... (cached) yes checking for "std::" namespace... (cached) yes checking whether standard template operator!=() is ambiguous... (cached) unambiguous checking for C++ reinterpret_cast... (cached) yes checking for C++ dynamic_cast to void*... (cached) yes checking whether C++ requires implementation of unused virtual methods... (cached) yes checking for trouble comparing to zero near std::operator!=()... (cached) no checking for LC_MESSAGES... (cached) yes checking for tar archiver... checking for gnutar... (cached) gnutar gnutar checking for wget... checking for wget... (cached) wget wget checking for valid optimization flags... yes checking for gcc -pipe support... yes checking whether compiler supports -Wno-long-long... yes checking whether C compiler supports -fprofile-generate... yes checking for correct temporary object destruction order... yes checking for correct overload resolution with const and templates... no Building Python extensions using python-2.5 from /opt/local/Library/Frameworks/Python.framework/Versions/2.5 creating ./config.status creating config/autoconf.mk creating Makefile creating xpcom/Makefile creating xpcom/src/Makefile creating xpcom/src/loader/Makefile creating xpcom/src/module/Makefile creating xpcom/components/Makefile creating xpcom/test/Makefile creating xpcom/test/test_component/Makefile creating dom/Makefile creating dom/src/Makefile creating dom/test/Makefile creating dom/test/pyxultest/Makefile creating dom/nsdom/Makefile creating dom/nsdom/test/Makefile

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  • STL algorithms and concurrent programming

    - by Andrew
    Hello everyone, Can any of STL algorithms/container operations like std::fill, std::transform be executed in parallel if I enable OpenMP for my compiler? I am working with MSVC 2008 at the moment. Or maybe there are other ways to make it concurrent? Thanks.

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  • Number of threads and thread numbers in Grand Central Dispatch

    - by raphgott
    I am using C and Grand Central Dispatch to parallelize some heavy computations. How can I get the number of threads used by GCD? Also is it possible to know on which thread a piece of code is currently running on? Basically I'd like to use sprng (parallel random numbers) with multiple streams and for that I need to know what stream id to use (and therefore what thread is being used).

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  • The simplest concurrency pattern

    - by Ilya Kogan
    Please, would you help me in reminding me of one of the simplest parallel programming techniques. How do I do the following in C#: Initial state: semaphore counter = 0 Thread 1: // Block until semaphore is signalled semaphore.Wait(); // wait until semaphore counter is 1 Thread 2: // Allow thread 1 to run: semaphore.Signal(); // increments from 0 to 1 It's not a mutex because there is no critical section, or rather you can say there is an infinite critical section. So what is it?

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  • Can .NET Task instances go out of scope during run?

    - by Henry Jackson
    If I have the following block of code in a method (using .NET 4 and the Task Parallel Library): var task = new Task(() => DoSomethingLongRunning()); task.Start(); and the method returns, will that task go out of scope and be garbage collected, or will it run to completion? I haven't noticed any issues with GCing, but want to make sure I'm not setting myself up for a race condition with the GC.

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  • openmp program elapsed time not scaling with increased threads

    - by Griff
    I've got this openmp fortran program doing an embarrassingly parallel problem - do loop over 512^3 elements. See output below. Why would there be such strange behavior in the elapsed time as a function of threads? I thought it would peak at a sweet spot then slowly degrade. This clearly isn't happening. Perhaps I misunderstand something about openmp. Threads, omp_get_wtime 1, 103.76298500015400 2, 65.346454000100493 4, 45.923643999965861 7, 38.074195000110194 8, 36.968765000114217 9, 39.45981499995105 10,40.753379000118002 12,39.577559999888763 14,37.909950000001118

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  • openmp sections running sequentially

    - by chi42
    I have the following code: #pragma omp parallel sections private(x,y,cpsrcptr) firstprivate(srcptr) lastprivate(srcptr) { #pragma omp section { //stuff } #pragma omp section { //stuff } } According to the Zoom profiler, two threads are created, one thread executes both the sections, and the other thread simply blocks! Has anyone encountered anything like this before? (And yes, I do have a dual core machine).

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  • dpkg: error processing /var/cache/apt/archives/python2.6-minimal_2.6.6-5ubuntu1_i386.deb (--unpack)

    - by udo
    I had an issue (Question 199582) which was resolved. Unfortunately I am stuck at this point now. Running root@X100e:/var/cache/apt/archives# apt-get dist-upgrade Reading package lists... Done Building dependency tree Reading state information... Done Calculating upgrade... Done The following NEW packages will be installed: file libexpat1 libmagic1 libreadline6 libsqlite3-0 mime-support python python-minimal python2.6 python2.6-minimal readline-common 0 upgraded, 11 newly installed, 0 to remove and 0 not upgraded. Need to get 0B/5,204kB of archives. After this operation, 19.7MB of additional disk space will be used. Do you want to continue [Y/n]? Y (Reading database ... 6108 files and directories currently installed.) Unpacking python2.6-minimal (from .../python2.6-minimal_2.6.6-5ubuntu1_i386.deb) ... new installation of python2.6-minimal; /usr/lib/python2.6/site-packages is a directory which is expected a symlink to /usr/local/lib/python2.6/dist-packages. please find the package shipping files in /usr/lib/python2.6/site-packages and file a bug report to ship these in /usr/lib/python2.6/dist-packages instead aborting installation of python2.6-minimal dpkg: error processing /var/cache/apt/archives/python2.6-minimal_2.6.6-5ubuntu1_i386.deb (--unpack): subprocess new pre-installation script returned error exit status 1 Errors were encountered while processing: /var/cache/apt/archives/python2.6-minimal_2.6.6-5ubuntu1_i386.deb E: Sub-process /usr/bin/dpkg returned an error code (1) results in above error. Running root@X100e:/var/cache/apt/archives# dpkg -i python2.6-minimal_2.6.6-5ubuntu1_i386.deb (Reading database ... 6108 files and directories currently installed.) Unpacking python2.6-minimal (from python2.6-minimal_2.6.6-5ubuntu1_i386.deb) ... new installation of python2.6-minimal; /usr/lib/python2.6/site-packages is a directory which is expected a symlink to /usr/local/lib/python2.6/dist-packages. please find the package shipping files in /usr/lib/python2.6/site-packages and file a bug report to ship these in /usr/lib/python2.6/dist-packages instead aborting installation of python2.6-minimal dpkg: error processing python2.6-minimal_2.6.6-5ubuntu1_i386.deb (--install): subprocess new pre-installation script returned error exit status 1 Errors were encountered while processing: python2.6-minimal_2.6.6-5ubuntu1_i386.deb results in above error. Running root@X100e:/var/cache/apt/archives# dpkg -i --force-depends python2.6-minimal_2.6.6-5ubuntu1_i386.deb (Reading database ... 6108 files and directories currently installed.) Unpacking python2.6-minimal (from python2.6-minimal_2.6.6-5ubuntu1_i386.deb) ... new installation of python2.6-minimal; /usr/lib/python2.6/site-packages is a directory which is expected a symlink to /usr/local/lib/python2.6/dist-packages. please find the package shipping files in /usr/lib/python2.6/site-packages and file a bug report to ship these in /usr/lib/python2.6/dist-packages instead aborting installation of python2.6-minimal dpkg: error processing python2.6-minimal_2.6.6-5ubuntu1_i386.deb (--install): subprocess new pre-installation script returned error exit status 1 Errors were encountered while processing: python2.6-minimal_2.6.6-5ubuntu1_i386.deb is not able to fix this. Any clues how to fix this?

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  • ParallelWork: Feature rich multithreaded fluent task execution library for WPF

    - by oazabir
    ParallelWork is an open source free helper class that lets you run multiple work in parallel threads, get success, failure and progress update on the WPF UI thread, wait for work to complete, abort all work (in case of shutdown), queue work to run after certain time, chain parallel work one after another. It’s more convenient than using .NET’s BackgroundWorker because you don’t have to declare one component per work, nor do you need to declare event handlers to receive notification and carry additional data through private variables. You can safely pass objects produced from different thread to the success callback. Moreover, you can wait for work to complete before you do certain operation and you can abort all parallel work while they are in-flight. If you are building highly responsive WPF UI where you have to carry out multiple job in parallel yet want full control over those parallel jobs completion and cancellation, then the ParallelWork library is the right solution for you. I am using the ParallelWork library in my PlantUmlEditor project, which is a free open source UML editor built on WPF. You can see some realistic use of the ParallelWork library there. Moreover, the test project comes with 400 lines of Behavior Driven Development flavored tests, that confirms it really does what it says it does. The source code of the library is part of the “Utilities” project in PlantUmlEditor source code hosted at Google Code. The library comes in two flavors, one is the ParallelWork static class, which has a collection of static methods that you can call. Another is the Start class, which is a fluent wrapper over the ParallelWork class to make it more readable and aesthetically pleasing code. ParallelWork allows you to start work immediately on separate thread or you can queue a work to start after some duration. You can start an immediate work in a new thread using the following methods: void StartNow(Action doWork, Action onComplete) void StartNow(Action doWork, Action onComplete, Action<Exception> failed) For example, ParallelWork.StartNow(() => { workStartedAt = DateTime.Now; Thread.Sleep(howLongWorkTakes); }, () => { workEndedAt = DateTime.Now; }); Or you can use the fluent way Start.Work: Start.Work(() => { workStartedAt = DateTime.Now; Thread.Sleep(howLongWorkTakes); }) .OnComplete(() => { workCompletedAt = DateTime.Now; }) .Run(); Besides simple execution of work on a parallel thread, you can have the parallel thread produce some object and then pass it to the success callback by using these overloads: void StartNow<T>(Func<T> doWork, Action<T> onComplete) void StartNow<T>(Func<T> doWork, Action<T> onComplete, Action<Exception> fail) For example, ParallelWork.StartNow<Dictionary<string, string>>( () => { test = new Dictionary<string,string>(); test.Add("test", "test"); return test; }, (result) => { Assert.True(result.ContainsKey("test")); }); Or, the fluent way: Start<Dictionary<string, string>>.Work(() => { test = new Dictionary<string, string>(); test.Add("test", "test"); return test; }) .OnComplete((result) => { Assert.True(result.ContainsKey("test")); }) .Run(); You can also start a work to happen after some time using these methods: DispatcherTimer StartAfter(Action onComplete, TimeSpan duration) DispatcherTimer StartAfter(Action doWork,Action onComplete,TimeSpan duration) You can use this to perform some timed operation on the UI thread, as well as perform some operation in separate thread after some time. ParallelWork.StartAfter( () => { workStartedAt = DateTime.Now; Thread.Sleep(howLongWorkTakes); }, () => { workCompletedAt = DateTime.Now; }, waitDuration); Or, the fluent way: Start.Work(() => { workStartedAt = DateTime.Now; Thread.Sleep(howLongWorkTakes); }) .OnComplete(() => { workCompletedAt = DateTime.Now; }) .RunAfter(waitDuration);   There are several overloads of these functions to have a exception callback for handling exceptions or get progress update from background thread while work is in progress. For example, I use it in my PlantUmlEditor to perform background update of the application. // Check if there's a newer version of the app Start<bool>.Work(() => { return UpdateChecker.HasUpdate(Settings.Default.DownloadUrl); }) .OnComplete((hasUpdate) => { if (hasUpdate) { if (MessageBox.Show(Window.GetWindow(me), "There's a newer version available. Do you want to download and install?", "New version available", MessageBoxButton.YesNo, MessageBoxImage.Information) == MessageBoxResult.Yes) { ParallelWork.StartNow(() => { var tempPath = System.IO.Path.Combine( Environment.GetFolderPath(Environment.SpecialFolder.ApplicationData), Settings.Default.SetupExeName); UpdateChecker.DownloadLatestUpdate(Settings.Default.DownloadUrl, tempPath); }, () => { }, (x) => { MessageBox.Show(Window.GetWindow(me), "Download failed. When you run next time, it will try downloading again.", "Download failed", MessageBoxButton.OK, MessageBoxImage.Warning); }); } } }) .OnException((x) => { MessageBox.Show(Window.GetWindow(me), x.Message, "Download failed", MessageBoxButton.OK, MessageBoxImage.Exclamation); }); The above code shows you how to get exception callbacks on the UI thread so that you can take necessary actions on the UI. Moreover, it shows how you can chain two parallel works to happen one after another. Sometimes you want to do some parallel work when user does some activity on the UI. For example, you might want to save file in an editor while user is typing every 10 second. In such case, you need to make sure you don’t start another parallel work every 10 seconds while a work is already queued. You need to make sure you start a new work only when there’s no other background work going on. Here’s how you can do it: private void ContentEditor_TextChanged(object sender, EventArgs e) { if (!ParallelWork.IsAnyWorkRunning()) { ParallelWork.StartAfter(SaveAndRefreshDiagram, TimeSpan.FromSeconds(10)); } } If you want to shutdown your application and want to make sure no parallel work is going on, then you can call the StopAll() method. ParallelWork.StopAll(); If you want to wait for parallel works to complete without a timeout, then you can call the WaitForAllWork(TimeSpan timeout). It will block the current thread until the all parallel work completes or the timeout period elapses. result = ParallelWork.WaitForAllWork(TimeSpan.FromSeconds(1)); The result is true, if all parallel work completed. If it’s false, then the timeout period elapsed and all parallel work did not complete. For details how this library is built and how it works, please read the following codeproject article: ParallelWork: Feature rich multithreaded fluent task execution library for WPF http://www.codeproject.com/KB/WPF/parallelwork.aspx If you like the article, please vote for me.

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  • JQuery getJSON Callback Returning Null Data

    - by user338828
    I have a getJSON call that is called back correctly, but the data variable is null. The python code posted below is executed by the getJSON call to the demandURL. Any ideas? javascript: var demandURL = "/demand/washington/"; $.getJSON(demandURL, function(data) { console.log(data); }); python: data = {"demand_count":"one"} json = simplejson.dumps(data) return HttpResponse(json, mimetype="application/json")

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  • Problem importing modul2s from boto

    - by Worbis
    I have installed boto like so: python setup.py install; and then when I launch my python script (that imports moduls from boto) on shell, an error like this shows up: ImportError: No module named boto.s3.connection How to settle the matter?

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